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Business Intelligence Engineer , TOM Central Program - Data Infra Team
Amazon
H1B ✓On-sitesenior levelPosted April 13, 2026
About the Role
The Business Intelligence Engineer will design and evolve scalable, AI-ready data infrastructure to support transportation operations. They will partner with stakeholders to translate complex business problems into automated reporting solutions and data-driven insights.
Requirements
Candidates must have at least 1-2 years of experience in data analysis, SQL, ETL, and large-scale dataset processing. Proficiency in data visualization tools and scripting languages like Python is required for this role.
Full Job Description
Are you passionate about diving deep into data and engineering scalable metrics that drive continuous improvement across Amazon’s global delivery operations? Do you excel at solving complex problems using data-driven insights and building solutions that scale with growing worldwide demand?
Are you excited to build AI-ready data infrastructure and drive AI-enabled insights that power smarter, faster decision-making across Amazon Transportation?
If so, the TOM Central Program Data Infrastructure team is the place for you. We are building the world’s fastest, most reliable, and lowest-cost transportation network—giving customers greater control and visibility—and we are looking for a top-notch Senior Business Intelligence Engineer to help lead this mission.
As a Business Intelligence Engineer, you operate within one of the world’s most complex data environments, owning the design and evolution of scalable, high-impact, and AI-ready data infrastructure.
You bring deep expertise in data modeling and large-scale dataset design, building reliable, well-governed data foundations that support both analytics and AI/ML use cases. You partner with business and technical leaders to define ambiguous problem spaces, shape key business questions, and drive AI-enabled insights that improve TOM Operations efficiency, automation, and decision-making.
You lead the development of robust, scalable, and cost-efficient data pipelines, ensuring high data quality, accessibility, and operational excellence across the end-to-end data lifecycle. You continuously evolve data systems to better support AI-driven analytics and insight generation, enabling faster and smarter business decisions.
Above all, you are passionate about transforming data into intelligence—driving AI-enabled insights that power operational excellence and data-informed decisions across the organization.
Key job responsibilities
Own and build scalable, automated reporting and analytics solutions, enabling self-service insights across TOM Operations.
Develop AI-ready data models and datasets, driving AI-enabled insights to improve operational efficiency and decision-making.
Partner with business and technical stakeholders to translate ambiguous problems into data-driven solutions and influence strategy.
Design and optimize robust, cost-efficient data pipelines and metrics frameworks, ensuring data quality and reliability.
Build and evolve business-critical dashboards and KPIs, raising the bar on insight quality and usability.
Drive process simplification and automation, including leveraging AI to accelerate insight generation and reduce manual effort.
About the team
TOM Central Programs serves as the connective tissue between TOM Operations and partner organizations, enabling operational excellence through strategic support across program excellence & analytics, learning & development, data infrastructure, automation implementation, integration, and security. We own these programs from end to end, anticipating bottlenecks, resolving blockers, managing escalations and balancing business needs versus technical constraints. Basic Qualifications: - 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 2+ years of developing automated reporting experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications: - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually
Are you excited to build AI-ready data infrastructure and drive AI-enabled insights that power smarter, faster decision-making across Amazon Transportation?
If so, the TOM Central Program Data Infrastructure team is the place for you. We are building the world’s fastest, most reliable, and lowest-cost transportation network—giving customers greater control and visibility—and we are looking for a top-notch Senior Business Intelligence Engineer to help lead this mission.
As a Business Intelligence Engineer, you operate within one of the world’s most complex data environments, owning the design and evolution of scalable, high-impact, and AI-ready data infrastructure.
You bring deep expertise in data modeling and large-scale dataset design, building reliable, well-governed data foundations that support both analytics and AI/ML use cases. You partner with business and technical leaders to define ambiguous problem spaces, shape key business questions, and drive AI-enabled insights that improve TOM Operations efficiency, automation, and decision-making.
You lead the development of robust, scalable, and cost-efficient data pipelines, ensuring high data quality, accessibility, and operational excellence across the end-to-end data lifecycle. You continuously evolve data systems to better support AI-driven analytics and insight generation, enabling faster and smarter business decisions.
Above all, you are passionate about transforming data into intelligence—driving AI-enabled insights that power operational excellence and data-informed decisions across the organization.
Key job responsibilities
Own and build scalable, automated reporting and analytics solutions, enabling self-service insights across TOM Operations.
Develop AI-ready data models and datasets, driving AI-enabled insights to improve operational efficiency and decision-making.
Partner with business and technical stakeholders to translate ambiguous problems into data-driven solutions and influence strategy.
Design and optimize robust, cost-efficient data pipelines and metrics frameworks, ensuring data quality and reliability.
Build and evolve business-critical dashboards and KPIs, raising the bar on insight quality and usability.
Drive process simplification and automation, including leveraging AI to accelerate insight generation and reduce manual effort.
About the team
TOM Central Programs serves as the connective tissue between TOM Operations and partner organizations, enabling operational excellence through strategic support across program excellence & analytics, learning & development, data infrastructure, automation implementation, integration, and security. We own these programs from end to end, anticipating bottlenecks, resolving blockers, managing escalations and balancing business needs versus technical constraints. Basic Qualifications: - 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 2+ years of developing automated reporting experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications: - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually